Attention from Alignment, Practically Explained
Daniel Warfield Learn from what matters, Ignore what doesn’t. Photo by Armand Khoury on Unsplash Attention, as popularized by the landmark paper Attention Is All You Need (2017), is arguably the most…
Coding was Hard Until I Learned These 2 Things!
Natassha Selvaraj Here’s what helped me go from “aspiring programmer” to actually landing a job in the field. Continue reading on Towards Data Science » Originally appeared here: Coding was…
Combining Open Street Map and Landsat open data to verify areas of green zones
Mikhail Sarafanov Quick and simple analysis for precise assessment Preview image (by author) Today we would like to talk about the benefits of combining spatial data from various open data sources.…
How to Create Your Own AI Weather Forecast
Caroline Arnold Using pre-trained models and reanalysis data Continue reading on Towards Data Science » Originally appeared here: How to Create Your Own AI Weather Forecast Go Here to Read…
Condition-based Maintenance: Rainflow Counting
Aman Steinberg Analyzing thermal cycles for Remaining Useful Lifetime predictions Image by Author using this tool under CreativeML Open RAIL-M license. Introduction In today’s data-driven world, businesses are increasingly turning to…
Google at ICCV 2023
Google AI Posted by Shaina Mehta, Program Manager, Google Google is proud to be a Platinum Sponsor of the International Conference on Computer Vision (ICCV 2023), a premier annual conference,…
Urban Accessibility — How to Reach Defibrillators on Time
Milan Janosov Image by the author. Urban Accessibility — How to Reach Defibrillators on Time In this piece, I combine earlier work on urban accessibility or walkability with open-source data on the location of…
Correct Sampling Bias for Recommender Systems
Thao Vu What is sampling bias in recommendation, and how to correct them Continue reading on Towards Data Science » Originally appeared here: Correct Sampling Bias for Recommender Systems Go…
Genius Cliques: Mapping out the Nobel Network
Milan Janosov The network of Nobel laureates. Image by the author. Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates. This piece was originally…
Create Galactic Art with Tkinter
Lee Vaughan Model Mother Nature with Logarithmic Spirals Continue reading on Towards Data Science » Originally appeared here: Create Galactic Art with Tkinter Go Here to Read this Fast! Create…
Hybrid Search 2.0: The Pursuit of Better Search
Noam Schwartz A Journey of Learning, Improvement, and the Quest for the Ultimate Hybrid Search System Photo by bert b on Unsplash The idea of combining the strength of text and vector…
Designing Operations Research Solutions: A User-friendly Routing Application with Streamlit
Bruno Scalia C. F. Leite From mathematical models to software engineering in Python Photo by Caspar Camille Rubin on Unsplash Bridging the gap between theory and applications is essential in Operations Research…
Orca: Properly Imitating Proprietary LLMs
Cameron R. Wolfe, Ph.D. Leveraging imitation to create high-quality, open-source LLMs… Continue reading on Towards Data Science » Originally appeared here: Orca: Properly Imitating Proprietary LLMs Go Here to Read…
16, 8, and 4-bit Floating Point Formats — How Does it Work?
Dmitrii Eliuseev Let’s go into bits and bytes Continue reading on Towards Data Science » Originally appeared here: 16, 8, and 4-bit Floating Point Formats — How Does it Work? Go Here…
Deep dive into pandas Copy-on-Write mode — part III
Patrick Hoefler Deep Dive into Pandas Copy-on-Write Mode — Part III Explaining the migration path for Copy-on-Write Photo by Zoe Nicolaou on Unsplash Introduction The introduction of Copy-on-Write (CoW) is a breaking change that…
Linear Algebra 2: Echelon Matrix Forms
tenzin migmar (t9nz) Image from Europeana on Unsplash Row echelon form and reduced row echelon form Preface Welcome back to the second essay of my ongoing series on the basics of Linear…
Two Powerful Python Features to Streamline Your Code and Make It More Readable
Murtaza Ali Enhance your code quality with the beauty of match statements and object slicing. Continue reading on Towards Data Science » Originally appeared here: Two Powerful Python Features to…
A (Philosophical) Perspective on Skills Gaps in AI
Mathieu Lemay What separates junior machine learning practitioners from senior solution architects in a fast-moving industry? Frustrations are natural in machine learning, but also avoidable. Photo by Tim Gouw from…
GenAI for Better NLP Systems I: A Tool for Generating Synthetic Data
Nabanita Roy Experimenting with the usage of GenAI for generating and augmenting synthetic data using Python for Prompt Engineering Continue reading on Towards Data Science » Originally appeared here: GenAI…
Change Point Detection — A Bayesian Approach
Everton Almeida Change Point Detection — A Bayesian Approach Identifying a change point in time series analysis could provide you much more information about the series than you previously though Change point analysis…